linearrecogniser.h

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00001 /*  -*- c++ -*-  (for Emacs)
00002  *
00003  *  linearrecogniser.h
00004  *  Digest
00005  * 
00006  *  Created by Aidan Lane on Tue Jan 17 2006.
00007  *  Copyright (c) 2005-2006 Optimisation and Constraint Solving Group,
00008  *  Monash University. All rights reserved.
00009  *
00010  *  This program is free software; you can redistribute it and/or modify
00011  *  it under the terms of the GNU General Public License as published by
00012  *  the Free Software Foundation; either version 2 of the License, or
00013  *  (at your option) any later version.
00014  *
00015  *  This program is distributed in the hope that it will be useful,
00016  *  but WITHOUT ANY WARRANTY; without even the implied warranty of
00017  *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
00018  *  GNU General Public License for more details.
00019  *
00020  *  You should have received a copy of the GNU General Public License
00021  *  along with this program; if not, write to the Free Software
00022  *  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
00023  */
00024 
00025 #ifndef LINEARRECOGNISER_H
00026 #define LINEARRECOGNISER_H
00027 
00028 
00029 #include "stlrecogniserinterface.h"
00030 
00031 #include <map>
00032 #include <vector>
00033 
00034 using namespace std;
00035 
00036 
00037 class LinearRecogniser : public StlRecogniserInterface {
00038 
00039   typedef double WeightT;
00040 
00041 public:
00042   LinearRecogniser();
00043   ~LinearRecogniser();
00044 
00045   DECLARE_STL_RECOGNISER_KEY( "linear" );
00046   DECLARE_STL_RECOGNISER_TITLE( "Linear Recogniser" );
00047   DECLARE_STL_RECOGNISER_DESCRIPTION( "<B>Simple Linear Recogniser</B><BR><BR>"
00048                                       "Although it requires 2 or more features "
00049                                       "to work, there are no restrictions on "
00050                                       "which features can or cannot be used." );
00051 
00052   const map<string, string>& defaultParams() const;
00053 
00054   bool initTraining( const list<string>& featureKeys,
00055                      const map<string, string>& params );
00056   bool examineSample( const StlFeatureVec& featureVec,
00057                       const set<int>& classes );
00058   bool finaliseTraining();
00059 
00060   bool writeModelFile( const string& fileName );
00061   bool readModelFile( const string& fileName );
00062 
00063   StlStroke flatten( const StlStrokeList& strokes );
00064   StlClassProbabilities classify( const StlFeatureVec& featureVec );
00065 
00066 private:
00067   map< int, vector<WeightT> > m_classWeights;
00068 };
00069 
00070 
00071 #endif  // ! LINEARRECOGNISER_H

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